Abstract
In this paper, stochastic Hopfield neural networks with time-varying delays are investigated based on Lyapunov-krasovskii functional approach and linear matrix inequality(LMI) technique. The proposed criterion is expressed in terms of linear matrix inequality(LMI)and is less conservative than some existing ones and can be effectively solved by Matlab LMI toolbox. A numerical example that confirms the theoretical result is also presented.
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Li, X., Wang, M. (2012). Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34487-9_57
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DOI: https://doi.org/10.1007/978-3-642-34487-9_57
Publisher Name: Springer, Berlin, Heidelberg
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